复制移动图像伪造检测使用互信息

Somnath Chakraborty
{"title":"复制移动图像伪造检测使用互信息","authors":"Somnath Chakraborty","doi":"10.1109/ICCCNT.2013.6726743","DOIUrl":null,"url":null,"abstract":"Now a days it's going to be very much difficult to have trust on digital images. With the advancement and ready availability of image editing software, a digital image can be manipulated so elegantly that there should be no visual clues of manipulation. So it is very much necessary to detect whether a digital image is an original one or some modifications is done after snapped by camera. In this paper a new technique is proposed to detect copy-move image forgery(or region duplication forgery) based on Mutual Information of different regions of an image. No parameter tuning is required for this technique. Experimental results show that this technique is valid for detection of copy moved regions in an digital image and also quite robust to illumination variation.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Copy move image forgery detection using mutual information\",\"authors\":\"Somnath Chakraborty\",\"doi\":\"10.1109/ICCCNT.2013.6726743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Now a days it's going to be very much difficult to have trust on digital images. With the advancement and ready availability of image editing software, a digital image can be manipulated so elegantly that there should be no visual clues of manipulation. So it is very much necessary to detect whether a digital image is an original one or some modifications is done after snapped by camera. In this paper a new technique is proposed to detect copy-move image forgery(or region duplication forgery) based on Mutual Information of different regions of an image. No parameter tuning is required for this technique. Experimental results show that this technique is valid for detection of copy moved regions in an digital image and also quite robust to illumination variation.\",\"PeriodicalId\":6330,\"journal\":{\"name\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCNT.2013.6726743\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2013.6726743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

有一天,要相信数码图像会变得非常困难。随着图像编辑软件的进步和可用性,数字图像可以被如此优雅地操纵,以至于不应该有操纵的视觉线索。因此,检测数码图像是原图还是经过相机拍摄后的修改是十分必要的。本文提出了一种基于图像不同区域互信息的复制-移动图像伪造(或区域复制伪造)检测方法。这种技术不需要参数调优。实验结果表明,该方法可以有效地检测数字图像中的复制移动区域,并且对光照变化具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Copy move image forgery detection using mutual information
Now a days it's going to be very much difficult to have trust on digital images. With the advancement and ready availability of image editing software, a digital image can be manipulated so elegantly that there should be no visual clues of manipulation. So it is very much necessary to detect whether a digital image is an original one or some modifications is done after snapped by camera. In this paper a new technique is proposed to detect copy-move image forgery(or region duplication forgery) based on Mutual Information of different regions of an image. No parameter tuning is required for this technique. Experimental results show that this technique is valid for detection of copy moved regions in an digital image and also quite robust to illumination variation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
“Multi-tenant SaaS cloud” Reduced order linear functional observers for large scale linear discrete-time control systems Multi pattern matching technique on fragmented and out-of-order packet streams for intrusion detection system Detection and tracking of moving objects by fuzzy textures Evacuation map generation using maze routing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1